1.0 DCPLUS 20260305 19163200 20260305 19163200 https://www.arcgis.com/home/item.html?id=41243a86fc3740899003b49c15e1aac0 41243a86fc3740899003b49c15e1aac0 Feature Service https://services4.arcgis.com/CmrvkPzsrjc9SIPL/arcgis/rest/services/Fall spots/FeatureServer Fall spots Feature layer generated from Find Outliers The following report outlines the workflow used to optimize your Find Outliers result: Initial Data Assessment. <ul><li>There were 8074 valid input features.</li></ul><ul><li>There were 107 outlier locations; these will not be used to compute the polygon cell size.</li></ul>Incident Aggregation <ul><li>The polygon cell size was 61568.0000 meters.</li></ul><ul><li>The aggregation process resulted in 818 weighted areas.</li></ul><ul><li>Incident Count Properties:</li></ul><table style='width: 200px;margin-left: 2.5em;border: none;'><tbody><tr><td style='border: none;'>Min</td><td style='float:right;border: none;'>1.0000</td></tr><tr><td style='border: none;'>Max</td><td style='float: right;border: none;'>614.0000</td></tr><tr><td style='border: none;'>Mean</td><td style='float: right;border: none;'>9.8704</td></tr><tr><td style='border: none;'>Std. Dev.</td><td style='float: right;border: none;'>31.0720</td></tr></tbody></table>Scale of Analysis <ul><li>The optimal fixed distance band selected was based on peak clustering found at 431336.1535 meters.</li></ul> Outlier Analysis <ul><li>Creating the random reference distribution with 499 permutations using random seed 39590.</li></ul><ul><li>There are 818 output features statistically significant based on a FDR correction for multiple testing and spatial dependence.</li></ul><ul><li>There are 8 statistically significant high outlier features.</li></ul><ul><li>There are 129 statistically significant low outlier features.</li></ul><ul><li>There are 332 features part of statistically significant low clusters.</li></ul><ul><li>There are 101 features part of statistically significant high clusters.</li></ul> Output <ul><li>Pink output features are part of a cluster of high values.</li></ul><ul><li>Light Blue output features are part of a cluster of low values.</li></ul><ul><li>Red output features represent high outliers within a cluster of low values.</li></ul><ul><li>Blue output features represent low outliers within a cluster of high values.</li></ul> -151.58446196799997 -92.95853803099999 53.29614685400003 9.287879492000059 1 41243a86fc3740899003b49c15e1aac0 https://services4.arcgis.com/CmrvkPzsrjc9SIPL/arcgis/rest/services/Fall spots/FeatureServer Feature Service EPSG